
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "119"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 91 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 87 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.811428	-0.831762	-0.574671	0.104084	0.075520	-1.462842	-1.174363	0.029310	0.7774	0.7966	0.2573	10.343667	11.502520
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.934431	-0.122413	-0.374867	0.856482	-0.591951	-0.716385	-0.954335	2.035838	0.7293	0.7279	0.2616	5.357351	5.516361
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.146408	-0.873846	1.585275	0.439060	-0.335145	0.852492	-1.824306	0.336792	0.0831	0.0807	0.0125	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.926470	-0.702468	-0.304836	0.679960	-1.002835	-1.164817	-1.051372	3.606119	0.6655	0.6850	0.3777	6.579812	6.550624
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.813260	-0.185450	-0.276288	1.115895	-0.908103	-0.961188	-0.919189	3.067108	0.6705	0.6864	0.3698	5.901764	5.913796
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.147900	-0.743942	-0.651747	0.908973	-1.041857	-0.599919	-1.007631	0.390404	0.7055	0.7071	0.2914	5.539655	5.625566
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.008734	-0.718930	-0.797465	0.919185	-0.399323	-1.036663	-0.934093	0.343361	0.7701	0.7620	0.2289	9.160776	8.533229
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	3.418783	-0.199809	0.195582	1.332373	0.305040	0.688108	-0.717425	3.311919	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.966480	-0.329845	-0.070776	0.681062	-1.031029	-0.009684	-0.981819	3.847261	0.6502	0.6719	0.3739	4.549195	4.182428
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.560305	4.647902	0.035871	1.674943	-0.558320	4.312888	-0.723137	4.211962	0.0743	0.0695	0.0030	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.372638	9.469662	2.818816	0.455139	4.096518	3.634948	46.386996	49.898644	0.6371	0.6518	0.3752	0.000000	0.000000
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.011152	0.779501	-0.630379	0.141480	-0.640496	-1.403505	-0.541644	4.156610	0.6671	0.6808	0.3901	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.082929	0.347596	-0.467791	0.283115	-0.868708	-1.315807	-0.546582	3.909050	0.6679	0.6816	0.3913	4.808800	4.447307
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.742733	0.208950	-0.617490	-0.110621	-0.066501	-0.502211	-0.364455	2.334947	0.6749	0.6888	0.3854	4.140326	3.784966
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.118098	0.733750	-0.609716	-0.010411	-0.917923	-0.976713	-0.877086	1.656975	0.6707	0.6850	0.3840	2.121403	2.135136
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.550104	0.500836	-0.531584	0.565359	-0.087247	-0.532864	-0.102766	6.162219	0.6617	0.6799	0.3937	5.172006	4.951749
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.848592	-0.647696	0.625619	0.656955	-0.066546	-0.804587	0.107727	-0.379007	0.0780	0.0387	0.0142	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.446780	-0.117466	-0.816983	0.037965	-0.738651	-0.030921	-0.683485	1.361835	0.6702	0.6867	0.3840	3.378662	3.239077
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.287769	-0.317554	-0.627931	0.376710	-0.125314	1.858229	-0.570397	0.776388	0.6949	0.7077	0.3862	5.741280	5.507140
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.333367	-0.565672	-0.795247	0.134956	-1.145704	-1.131030	-0.919137	0.535058	0.7511	0.7597	0.3328	7.968029	7.066366
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.424381	0.704639	-0.736841	0.123247	0.195331	-0.566189	-0.783561	0.777048	0.6879	0.7035	0.3880	4.871161	4.839850
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.750638	1.725642	-0.810947	0.153784	-0.898959	-1.135876	-0.307094	7.381953	0.6815	0.6945	0.3890	4.476259	3.951296
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.671333	0.007126	-0.754821	0.172581	-0.724028	-0.254814	-0.023297	5.331751	0.6949	0.7079	0.3812	6.718624	5.933358
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.864437	-0.613478	0.744562	0.535893	0.292611	1.049451	-0.046844	-0.953740	0.0791	0.0510	0.0173	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.113198	-0.875806	0.172052	-1.155075	-0.143168	-1.091464	-0.781021	-0.409098	0.6679	0.6968	0.3634	0.000000	0.000000
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.535586	-0.234843	-0.658244	0.186902	-0.888065	0.304025	-0.794976	0.003594	0.7643	0.7728	0.2369	4.431459	4.039387
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.894017	-0.894017	-0.869152	-0.869152	0.484019	0.484019	0.010794	0.010794	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.329871	-0.561989	-0.574256	0.692166	0.299166	-0.155451	-0.478435	0.550081	0.6948	0.7059	0.3992	3.306634	3.122089
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.479569	-0.304587	-0.476896	1.063611	-0.849978	-0.589079	-0.373637	4.585066	0.6919	0.7046	0.3940	4.017349	4.096639
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.360873	0.203449	-0.138514	0.412475	0.652586	0.226509	0.007433	2.141734	0.6897	0.7051	0.3942	3.304855	3.225010
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.130962	-0.664966	-0.184419	0.194291	0.397477	-0.141764	-0.089927	5.176908	0.6985	0.7147	0.3860	3.140043	2.956544
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.214872	-0.126460	-0.033224	0.207750	0.910808	0.067947	0.081224	3.479845	0.6877	0.7028	0.4008	3.278053	3.055033
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.493954	-0.011952	-0.204697	0.210814	0.672330	-0.051515	0.286363	2.067926	0.6869	0.7036	0.3864	3.016254	2.891027
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.392589	-0.178605	-0.599741	0.307031	-0.402263	-1.312059	-0.335788	7.009136	0.6883	0.7023	0.3973	3.828576	3.530266
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0413	0.0412	0.0053	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.145836	-0.426364	-0.568399	0.555010	-0.612231	-0.757678	-0.280480	12.345571	0.6898	0.7064	0.3913	3.948612	3.704969
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6983	0.7096	0.4000	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6939	0.7077	0.3996	nan	nan
2459552	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.718588	-0.851206	-0.706489	0.027400	-0.814911	-2.450625	-0.754245	1.171867	0.7002	0.7108	0.3928	8.562837	7.859697
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.788099	-0.618431	-0.133170	0.305309	0.833211	-0.090623	0.096160	2.411429	0.6951	0.7105	0.3901	3.315997	2.969390
2459550	RF_maintenance	-	97.53%	97.53%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0810	0.0779	0.0050	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.544001	-0.313203	-0.562781	0.055047	0.312367	-0.290024	-0.063649	4.518779	0.6854	0.7041	0.4052	3.730970	3.425325
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.670775	-0.364172	-0.203204	0.939615	-0.703757	-0.700333	-0.586780	2.459249	0.7442	0.7568	0.3581	3.148301	2.904485
2459541	RF_maintenance	0.00%	1.34%	1.79%	0.00%	100.00%	0.00%	0.904156	-0.684099	-0.985000	0.261233	-0.844570	0.007955	-1.131028	-0.548523	0.7360	0.7423	0.3379	4.804416	4.495773
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.155031	-0.848304	-0.155987	0.237616	-0.444559	0.717491	-0.457166	2.064805	0.7486	0.7536	0.3411	3.154021	2.895234
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.205759	-1.608917	1.386370	-0.218871	0.759197	-1.000059	-0.792269	0.596358	0.7172	0.7254	0.4297	5.038014	4.814062
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.340656	-1.047616	-0.728983	-0.581112	-0.864223	-0.083724	-0.547015	3.006066	0.7824	0.7760	0.3514	3.615234	3.029388
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.639646	-1.082332	-0.650172	-0.673140	-0.426224	0.344990	-0.354266	2.237394	0.7748	0.7680	0.3486	6.047172	5.985313
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.566007	-0.966681	-0.685887	-0.195152	-0.209909	-1.148635	-0.256774	9.036008	0.7155	0.7291	0.4001	3.622006	3.362942
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.954949	-0.660985	0.928085	-0.369720	-1.033254	-1.297040	-0.678113	4.659236	0.7198	0.7297	0.3956	4.267088	3.672890
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.971340	-0.956071	-0.821556	-0.514432	-0.036339	-0.434470	-0.355270	2.064987	0.7165	0.7302	0.4095	4.093852	3.858178
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.287880	-0.611134	-0.659571	-0.258121	-1.394154	-0.188323	-1.005072	1.580464	0.9106	0.9412	0.2880	0.000000	0.000000
2459523	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.028608	-0.293737	0.414893	-0.196735	-0.673757	-0.892520	-1.086989	3.419737	nan	nan	nan	6.729491	5.739524
2459522	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.860547	-1.194465	-0.834657	0.209944	-0.976360	-0.779680	-0.750988	2.424118	0.6503	0.7237	0.3679	4.463883	5.233942
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.809112	-0.587326	1.585779	1.276971	-0.411491	-0.399680	0.167533	-0.164974	0.1534	0.1037	0.0160	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.843139	-0.450585	-0.141409	-0.591712	-0.393670	-1.172208	-0.841399	-0.682864	0.9184	0.9548	0.1689	0.000000	0.000000
2459505	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.895242	0.266049	-0.660240	1.013984	-0.682873	-0.179060	0.114680	1.161771	0.8794	0.8627	0.2107	11.043249	15.281582
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.295550	0.166255	0.517397	-0.281489	1.117327	-0.933708	-0.909448	0.463291	0.8811	0.8768	0.4106	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.294060	-0.817770	-0.806398	-0.636513	-0.647288	0.423010	-0.078151	3.485232	0.8711	0.9009	0.3662	0.000000	0.000000
2459500	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.547773	-0.978261	-1.109702	-1.207121	-1.060100	-0.372548	0.200458	3.730763	0.8756	0.8954	0.3546	0.000000	0.000000
2459499	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.980360	-0.195253	0.012482	-0.151207	0.630286	-0.600866	-0.566031	2.568794	0.8888	0.9496	0.1679	0.000000	0.000000
2459498	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.156763	0.005512	0.314784	-0.000557	0.712048	-0.715739	-0.799547	1.952384	0.8871	0.8970	0.3825	0.000000	0.000000
2459497	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.747868	0.378626	0.554838	0.128323	1.151756	-0.826619	-0.874420	0.403688	0.9161	0.9383	0.3062	0.000000	0.000000
2459496	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.146323	-0.254517	0.175192	-0.009757	0.352151	-1.181055	-0.893064	0.712073	0.0947	0.0811	0.0120	0.000000	0.000000
2459495	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.517831	-0.262069	-0.031093	0.059240	0.131176	-0.969664	-0.900425	1.678463	0.0910	0.0817	0.0141	0.000000	0.000000
2459494	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.253066	0.302593	-0.135486	0.124093	-0.173223	-1.149434	-0.415514	2.075924	0.0838	0.0782	0.0131	0.000000	0.000000
2459492	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	3.004410	-0.062887	1.301860	-0.344401	1.941962	-0.776905	-0.925143	2.348912	0.0947	0.0791	0.0116	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	4.055450	-0.074431	1.522836	-0.840034	3.503781	-1.188492	-0.978968	2.330452	0.0917	0.0835	0.0102	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	4.409639	-0.455025	-1.427919	-0.406364	0.660305	-0.184862	0.267954	9.572993	0.0849	0.0783	0.0122	0.000000	0.000000
2459489	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.890397	-0.512066	1.185997	-0.910581	2.739930	-0.940240	-0.641417	2.078216	0.0911	0.0870	0.0117	0.000000	0.000000
2459488	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.378922	-0.790478	0.665073	-0.275420	1.261043	-0.136584	0.553894	3.135545	0.0995	0.0810	0.0116	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 119 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 119, Node 7:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 119: 2459615

Antenna 119: 2459614

Antenna 119: 2459613

Antenna 119: 2459612

Antenna 119: 2459611

Antenna 119: 2459610

Antenna 119: 2459609

Antenna 119: 2459608

Antenna 119: 2459607

Antenna 119: 2459605

Antenna 119: 2459604

Antenna 119: 2459603

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Antenna 119: 2459598

Antenna 119: 2459597

Antenna 119: 2459596

Antenna 119: 2459595

Antenna 119: 2459594

Antenna 119: 2459593

Antenna 119: 2459592

Antenna 119: 2459591

Antenna 119: 2459590

Antenna 119: 2459589

Antenna 119: 2459588

Antenna 119: 2459587

Antenna 119: 2459586

Antenna 119: 2459585

Antenna 119: 2459584

Antenna 119: 2459583

Antenna 119: 2459582

Antenna 119: 2459581

Antenna 119: 2459580

Antenna 119: 2459579

Antenna 119: 2459578

Antenna 119: 2459577

Antenna 119: 2459576

Antenna 119: 2459575

Antenna 119: 2459574

Antenna 119: 2459573

Antenna 119: 2459572

Antenna 119: 2459571

Antenna 119: 2459570

Antenna 119: 2459569

Antenna 119: 2459566

Antenna 119: 2459565

Antenna 119: 2459564

Antenna 119: 2459563

Antenna 119: 2459562

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Antenna 119: 2459559

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Antenna 119: 2459556

Antenna 119: 2459552

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Antenna 119: 2459542

Antenna 119: 2459541

Antenna 119: 2459540

Antenna 119: 2459536

Antenna 119: 2459535

Antenna 119: 2459534

Antenna 119: 2459533

Antenna 119: 2459532

Antenna 119: 2459530

Antenna 119: 2459527

Antenna 119: 2459524

Antenna 119: 2459523

Antenna 119: 2459522

Antenna 119: 2459513

Antenna 119: 2459508

Antenna 119: 2459506

Antenna 119: 2459505

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶